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Relevant bibliographies by topics / Optimal allocation of resources under uncertainty

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Academic literature on the topic 'Optimal allocation of resources under uncertainty'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Optimal allocation of resources under uncertainty"

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Jaka, Zgajnar, and Kavcic Stane. "Optimal allocation of production resources under uncertainty: Application of the muliticriteria approach." Agricultural Economics (Zemědělská ekonomika) 62, No. 12 (2016): 556–65. http://dx.doi.org/10.17221/238/2015-agricecon.

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Judi, J. Antony, F. Ezhil Mary Arasi, and Dr S. Govindarajan. "Utility Based Resource Allocation Model for Cloud Services." INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 6, no. 3 (2013): 855–60. http://dx.doi.org/10.24297/ijmit.v6i3.723.

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Minimizing Resource allocation problems under the demand and price uncertainty in cloud computing environments is the motivation to explore a resource provisioning strategy for cloud consumers. In this paper a utilization-based optimal cloud (UBOC) algorithm is proposed to minimize the total cost for provisioning resources in a certain time period. To make an optimal decision, the demand uncertainty from cloud consumer side and price uncertainty from cloud providers are taken into account to adjust the tradeoff between on-demand and oversubscribed costs. Using this UBOC user can share cloud re

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Balseiro, Santiago, Christian Kroer, and Rachitesh Kumar. "Online Resource Allocation under Horizon Uncertainty." ACM SIGMETRICS Performance Evaluation Review 51, no. 1 (2023): 63–64. http://dx.doi.org/10.1145/3606376.3593559.

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We study stochastic online resource allocation: a decision maker needs to allocate limited resources to stochastically-generated sequentially-arriving requests in order to maximize reward. At each time step, requests are drawn independently from a distribution that is unknown to the decision maker. Online resource allocation and its special cases have been studied extensively in the past, but prior results crucially and universally rely on the strong assumption that the total number of requests (the horizon) is known to the decision maker in advance. In many applications, such as revenue manag

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Hosseini, Hadi, Jesse Hoey, and Robin Cohen. "A Market-Based Coordination Mechanism for Resource Planning Under Uncertainty." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (2021): 2427–28. http://dx.doi.org/10.1609/aaai.v26i1.8428.

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Multiagent Resource Allocation (MARA) distributes a set of resources among a set of intelligent agents in order to respect the preferences of the agents and to maximize some measure of global utility, which may include minimizing total costs or maximizing total return. We are interested in MARA solutions that provide optimal or close-to-optimal allocation of resources in terms of maximizing a global welfare function with low communication and computation cost, with respect to the priority of agents, and temporal dependencies between resources. We propose an MDP approach for resource planning i

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Moslehi, Mahsa, Ram Rajagopal, and Felipe P. J. de Barros. "Optimal allocation of computational resources in hydrogeological models under uncertainty." Advances in Water Resources 83 (September 2015): 299–309. http://dx.doi.org/10.1016/j.advwatres.2015.06.014.

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Singh, Ajay. "Optimal Allocation of Resources for Increasing Farm Revenue under Hydrological Uncertainty." Water Resources Management 30, no. 7 (2016): 2569–80. http://dx.doi.org/10.1007/s11269-016-1306-x.

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Aziz, Haris, Peter Biro, Ronald De Haan, and Baharak Rastegari. "Pareto Optimal Allocation under Compact Uncertain Preferences." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 1740–47. http://dx.doi.org/10.1609/aaai.v33i01.33011740.

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The assignment problem is one of the most well-studied settings in multi-agent resource allocation. Aziz, de Haan, and Rastegari (2017) considered this problem with the additional feature that agents’ preferences involve uncertainty. In particular, they considered two uncertainty models neither of which is necessarily compact. In this paper, we focus on three uncertain preferences models whose size is polynomial in the number of agents and items. We consider several interesting computational questions with regard to Pareto optimal assignments. We also present some general characterization and

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Gu, Jingda, Ying Li, Li Ju, Xianghong Zuo, and Yuheng Zhao. "Flexible resource optimal allocation strategy for distribution system resilience improvement under failure uncertainty." Journal of Physics: Conference Series 2703, no. 1 (2024): 012030. http://dx.doi.org/10.1088/1742-6596/2703/1/012030.

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Abstract Extreme disasters have led to huge economical losses to the power system and posed a huge threat to the stable supply of electric energy. Especially for traditional passive distribution network systems, failures of transmission lines, towers, and other equipment will cause large-scale power outages and huge economic losses. In order to improve the ability of the power system to deal with extreme weather disasters, this paper proposes an optimal configuration strategy for the distribution network backup power resource oriented to resilience improvement, considering the uncertainty of e

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Su, Xuan, Wenquan Dong, Jingyu Lu, Chen Chen, and Weixi Ji. "Dynamic Allocation of Manufacturing Resources in IoT Job Shop Considering Machine State Transfer and Carbon Emission." Sustainability 14, no. 23 (2022): 16194. http://dx.doi.org/10.3390/su142316194.

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The optimal allocation of manufacturing resources plays an essential role in the production process. However, most of the existing resource allocation methods are designed for standard cases, lacking a dynamic optimal allocation framework for resources that can guide actual production. Therefore, this paper proposes a dynamic allocation method for discrete job shop resources in the Internet of Things (IoT), which considers the uncertainty of machine states, and carbon emission. First, a data-driven job shop resource status monitoring framework under the IoT environment is proposed, considering

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Fu, Yinhuan, Mo Li, and Ping Guo. "Optimal Allocation of Water Resources Model for Different Growth Stages of Crops under Uncertainty." Journal of Irrigation and Drainage Engineering 140, no. 6 (2014): 05014003. http://dx.doi.org/10.1061/(asce)ir.1943-4774.0000724.

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Dissertations / Theses on the topic "Optimal allocation of resources under uncertainty"

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Plamondon, Pierrick. "Techniques for the allocation of resources under uncertainty." Doctoral thesis, Québec : Université Laval, 2007. http://www.theses.ulaval.ca/2007/24957/24957.pdf.

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Haro, Monteagudo David. "Methodology for the optimal management design of water resources system under hydrologic uncertainty." Doctoral thesis, Universitat Politècnica de València, 2015. http://hdl.handle.net/10251/45996.

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Un sistema de gestión de sequías apropiado requiere de la anticipación de los posibles efectos que un episodio de este tipo tenga sobre el sistema de recursos hídricos. Esta tarea sin embargo resulta más complicada de lo que parece. En primer lugar, debido al alto grado de incertidumbre existente en la predicción de variables hidrológicas futuras. Y en segundo, debido al riesgo de sobrerreacción en la activación de medidas de mitigación generando falsa sensación de escasez, o sequía artificial. A este respecto, los planes especiales de sequía proveen de herramientas para la gestión efici

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Wang, Qiong. "Optimal Investment Strategies for Flexible Resources, Considering Pricing and Correlated Demands." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/46183.

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We study the resource investment decision faced by a firm that offers two demand-classes (i.e., products, services), while incorporating the firm's pricing decision into the investment decision. For this purpose, we consider a monopolistic situation and model the demand curve of each demand-class as a downward sloping linear function of its own price. The firm can invest in dedicated resources, which can only satisfy a specific demand-class, and/or in a more expensive, flexible resource, which can satisfy both demand-classes. We consider a two-stage stochastic decision model: In the first s

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Yamout, Ghina M. "Applications of single party and multiple party decision making under risk and uncertainty to water resources allocation problems." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0012147.

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Dankwah, Charles O. "Investigating an optimal decision point for probability bounds analysis models when used to estimate remedial soil volumes under uncertainty at hazardous waste sites." ScholarWorks, 2010. https://scholarworks.waldenu.edu/dissertations/776.

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Hazardous waste site remediation cost estimation requires a good estimate of the contaminated soil volume. The United States Environmental Protection Agency (U.S. EPA) currently uses deterministic point values to estimate soil volumes but the literature suggests that probability bounds analysis (PBA) is the more accurate method to make estimates under uncertainty. The underlying statistical theory is that they are more accurate than deterministic estimates because probabilistic estimates account for data uncertainties. However, the literature does not address the problem of selecting an optima

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Shyu, Horng-Jeng, and 徐弘正. "The Impacts of Physicians' Behavior Affected by the Optimal Health Care Resources Allocation Under the Global Budget Reimbursement System." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/87630851467654774476.

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博士<br>亞洲大學<br>健康產業管理學系健康管理組<br>102<br>After the launch of Taiwan's National Health Insurance (NHI), the fee-for-service (FFS) payment system allowed hospitals to provide accessible health care. However, continually rising healthcare costs resulted in an unsustainable burden on the system. The global budget payment system (GBPS) has been implemented, which not only controlled health care costs but also motivated the hospital to enhance management efficacy. Determining how to appropriately allocate limited hospital claims resources among its physicians became an important management issue. With

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Books on the topic "Optimal allocation of resources under uncertainty"

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Kavadias, Stylianos, and Christoph H. Loch. Project Selection Under Uncertainty: Dynamically Allocating Resources to Maximize Value. Springer, 2012.

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Kavadias, Stylianos, and Christoph H. Loch. Project Selection under Uncertainty: Dynamically Allocating Resources to Maximize Value. Springer, 2012.

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Kavadias, Stylianos, and Christoph H. Loch. Project Selection Under Uncertainty: Dynamically Allocating Resources to Maximize Value (International Series in Operations Research & Management Science). Springer, 2004.

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Golan, Amos. Foundations of Info-Metrics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199349524.001.0001.

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This book provides a framework for info-metrics—the science of modeling, inference, and reasoning under conditions of noisy and insufficient information. Info-metrics is an inherently interdisciplinary framework that emerged from the intersection of information theory, statistical inference, and decision-making under uncertainty. It allows us to process the available information with minimal reliance on assumptions that cannot be validated. This book focuses on unifying all information processing and model building within a single constrained optimization framework. It provides a complete fram

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Book chapters on the topic "Optimal allocation of resources under uncertainty"

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Changqing, Li, and Zhang Mang. "Resource Allocation: An Optimum-Seeking Approach under the Uncertainty for PERT." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23214-5_91.

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Khrennikova, Polina. "New Paradigm of Economic Thinking Under Uncertainty." In Credible Asset Allocation, Optimal Transport Methods, and Related Topics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97273-8_9.

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Toporkov, Victor, Dmitry Yemelyanov, and Maksim Grigorenko. "Optimization of Resources Allocation in High Performance Computing Under Utilization Uncertainty." In Computational Science – ICCS 2021. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77980-1_41.

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Duckstein, Lucien, Aimee Bella, Eugene Z. Stakhiv, and Marvin Waterstone. "Strategic and Tactical Transboundary Water Allocation under Climatic Uncertainty: Case of Upper Rio Grande Basin, USA." In Transboundary Water Resources Management. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61438-5_12.

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Lorkowski, Joe, and Vladik Kreinovich. "Decision Making Under Uncertainty and Restrictions on Computation Resources: From Heuristic to Optimal Techniques." In Studies in Systems, Decision and Control. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62214-9_6.

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Mirzaei, Abbas, Hassan Azarm, Seyed Mohammad Javad Sobhani, and Moslem Savari. "Optimal Allocation of Groundwater Resources in the Agricultural Sector Under Restrictive Policies on Groundwater Extraction." In Handbook of Formal Optimization. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3820-5_60.

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Mirzaei, Abbas, Hassan Azarm, Seyed Mohammad Javad Sobhani, and Moslem Savari. "Optimal Allocation of Groundwater Resources in the Agricultural Sector Under Restrictive Policies on Groundwater Extraction." In Handbook of Formal Optimization. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-19-8851-6_60-1.

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Zhang, Yu, Xiaodong Wang, Zhixiang Min, et al. "Adaptive Regulation of Cascade Reservoirs System Under Non-stationary Runoff." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6138-0_88.

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AbstractUnder the influence of climate change and human activities, the spatial and temporal distribution of river runoff has changed. The statistical characteristics of runoff such as mean, variance and extreme values have changed significantly. Hydrological stationarity has been broken, deepening the uncertainty of water resources and their utilization. Hydrological stationarity is a fundamental assumption of traditional water resources planning and management. The occurrence of non-stationarity will undoubtedly have an impact on the operation and overall benefits of reservoirs, and may even

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Ye, Gaoxiang, Jie Yang, Feifan Shao, et al. "Resource Allocation Schemes for Distribution Networks Under Source-Load Uncertainty." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia241117.

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A multi-objective optimal allocation model is established by constructing probabilistic models of photovoltaic, wind turbine output, load and electric vehicle charging power. The model takes into account the economy of investment, network stability and social and environmental benefits. In order to solve this model, an improved multi-objective particle swarm algorithm is proposed, and the probabilistic trend calculation is carried out using the semi-invariant method to verify the constraints. The efficiency and effectiveness of the proposed method are verified through simulation, especially in

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Fatima Shaheen and Wooldridge Michael. "Multilateral Bargaining for Resource Division." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2014. https://doi.org/10.3233/978-1-61499-419-0-309.

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We address the problem of how a group of agents can decide to share a resource, represented as a unit-sized pie. We investigate a finite horizon non-cooperative bargaining game, in which the players take it in turns to make proposals on how the resource should be allocated, and the other players vote on whether or not to accept the allocation. Voting is modelled as a Bayesian weighted voting game with uncertainty about the players' weights. The agenda, (i.e., the order in which the players are called to make offers), is defined exogenously. We focus on impatient players with heterogeneous disc

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Conference papers on the topic "Optimal allocation of resources under uncertainty"

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Alam, Md Shamsul, I. David L. Bogle, and Vivek Dua. "Optimisation of Biomass-Energy-Water-Food Nexus under Uncertainty." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.117909.

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The three systems, water, energy and food, are intertwined since the effect of any of these systems can affect others. This study proposes a mathematical model incorporating uncertain parameters in the biomass energy-water-food nexus system. The novel aspects of this work include formulating and solving the problem as a mixed-integer linear program and addressing the presence of uncertain parameters through a two-stage stochastic mathematical programming approach. Taking maximising economic benefit as an objective function, this work compares the results of the deterministic model with the res

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Cheng, Wei, Tao Jia, Ruojun Du, and Dong Lei. "A Location-Allocation Problem of Emergency Facilities Considering Multi-Resources Under Uncertainty." In 2024 International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2024. https://doi.org/10.1109/icnsc62968.2024.10760233.

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Naraghi, Saba Ghasemi, and Zheyu Jiang. "Joint Optimization of Fair Facility Allocation and Robust Inventory Management for Perishable Consumer Products." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.153925.

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Perishable consumer products like food, cosmetics, and household chemicals face challenges in supply chain management due to limited shelf life and uncertainties in demand and transportation. To address some of these issues, this work proposes a robust optimization framework for jointly optimizing facility allocation and inventory management. The framework determines optimal locations for distribution centers and their assigned customers, as well as inventory policies that minimize the total costs related to transportation, distribution, and storage under uncertain demand in a robust setting.

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Chan, Hau, Long Tran-Thanh, and Vignesh Viswanathan. "Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/596.

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Standard disaster response involves using drones (or helicopters) for reconnaissance and using people on the ground to mitigate the damage. In this paper, we look at the problem of wildfires and propose an efficient resource allocation strategy to cope with both dynamically changing environment and uncertainty. In particular, we propose Firefly, a new resource allocation algorithm, that can provably achieve optimal or near optimal solutions with high probability by first efficiently allocating observation drones to collect information to reduce uncertainty, and then allocate the firefighting u

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Zhu, Guohai, Yu Guo, Kewei Yang, and Yingying Gao. "Bi-objective optimal planning for emergency resource allocation in the maritime oil spill accident response phase under uncertainty." In 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC). IEEE, 2019. http://dx.doi.org/10.1109/imcec46724.2019.8984098.

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Zhu, Guohai, Kewei Yang, Qingsong Zhao, and Zhiwei Yang. "Bi-objective optimal planning for emergency resource allocation in the maritime oil spill accident response phase under uncertainty." In GECCO '19: Genetic and Evolutionary Computation Conference. ACM, 2019. http://dx.doi.org/10.1145/3319619.3326780.

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Reza Kheirkhah, Ali, Alejandra Tabares Pozos, Seyed Farhad Zandrazavi, John Fredy Franco, and Jonatas Boas Leite. "A Stochastic Programming Model for the Optimal Allocation of Photovoltaic Distributed Generation in Electrical Distribution Systems Considering Load Variations and Generation Uncertainty." In Simpósio Brasileiro de Sistemas Elétricos - SBSE2020. sbabra, 2020. http://dx.doi.org/10.48011/sbse.v1i1.2247.

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Nowadays, the penetration of distributed generation (DG) units in power systems is increasing because of their benefits on the power systems. Place, type and size of distributed generators play an important role in power loss reduction, power quality improvement, security enhancement, and cost reduction. Therefore, optimal placement and sizing of DG units in electric power systems are one of the most important problems that should be evaluated carefully. DG allocation is a constrained optimization problem with different important objectives such as power loss minimization, voltage profile impr

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Harrison, K. W. "Optimal Adaptive Water Quality Management under Uncertainty." In World Environmental and Water Resources Congress 2007. American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40927(243)536.

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Gąsior, Dariusz, Krzysztof Brzostowski, and Igor Perko Igor Perko. "Utility-based Resource Allocation Under Uncertainty." In Challenges in Economics and Business in the Post-COVID Times. University of Maribor Press, 2022. http://dx.doi.org/10.18690/um.epf.5.2022.43.

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Due to the COVID-19 pandemic, societies have recently become aware that all decision-making processes are made under huge uncertainty. Since the worldwide situation cannot be compared to any other in the past, it is hard to apply any of the typical descriptions of uncertainty based on historical data. In this paper, the authors try to show how to use expert knowledge of the unknown values of systems parameters to optimise their operation through appropriate allocation of resources and also consider the systems that may be modelled by using the utility theory. Production plants and computer net

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Ahmed, Iftekhar, and Kevin E. Lansey. "Optimal Operation of Multi-Reservoir Systems under Uncertainty." In World Water and Environmental Resources Congress 2001. American Society of Civil Engineers, 2001. http://dx.doi.org/10.1061/40569(2001)147.

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Reports on the topic "Optimal allocation of resources under uncertainty"

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Steinbuks, Jevgenijs, and Thomas Hertel. The Optimal Allocation of Global Land Use in the Food-Energy-Environment Trilemma. GTAP Working Paper, 2011. http://dx.doi.org/10.21642/gtap.wp64.

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This study analyzes the optimal allocation of the world's land resources over the course of the next century in the dynamic forward-looking framework, which brings together distinct strands of economic, agronomic, and biophysical literature and incorporates key drivers affecting global landuse. We show that, while some deforestation is optimal in the near term, the desirability of further deforestation is elimated by mid-century under the baseline scenario. While the adverse productivity shocks from climate change have a modest effect on global land use, when combined with high growth in energ

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Ocampo-Gaviria, José Antonio, Roberto Steiner Sampedro, Mauricio Villamizar Villegas, et al. Report of the Board of Directors to the Congress of Colombia - March 2023. Banco de la República de Colombia, 2023. http://dx.doi.org/10.32468/inf-jun-dir-con-rep-eng.03-2023.

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Banco de la República is celebrating its 100th anniversary in 2023. This is a very significant anniversary and one that provides an opportunity to highlight the contribution the Bank has made to the country’s development. Its track record as guarantor of monetary stability has established it as the one independent state institution that generates the greatest confidence among Colombians due to its transparency, management capabilities, and effective compliance with the central banking and cultural responsibilities entrusted to it by the Constitution and the Law. On a date as important as this,

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Financial Stability Report - Second Half of 2022. Banco de la República, 2023. http://dx.doi.org/10.32468/rept-estab-fin.sem2.eng-2022.

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Banco de la República’s main goal is to preserve the purchasing power of the currency in coordination with the general economic policy that is intended to stabilize output and employment at long-term sustainable levels. Properly meeting the goal assigned to the Bank by the 1991 Constitution critically depends on preserving financial stability. This is understood to be a general condition in which the financial system evaluates and manages the financial risks in a way that facilitates the suitable performance of the economy and efficient allocation of resources while, at the same time, it is ab

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